Amazon RDS vs Amazon RDS for Aurora

Overview

Amazon RDS

Stacks16.2K

Followers10.8K

Votes761

Amazon Aurora

Stacks807

Followers745

Votes55

Amazon RDS vs Amazon RDS for Aurora: What are the differences?

# Introduction

1. **Data Storage**:
Amazon RDS uses various database engines like MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server, while Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that offers up to five times the performance of standard MySQL databases.

2. **Fault Tolerance**: 
Amazon Aurora has a higher level of fault tolerance compared to Amazon RDS, with automatic and continuous backups to Amazon S3, six copies of data across three Availability Zones, and storage that is self-healing and fault-tolerant.

3. **Performance**: 
Amazon Aurora is designed for high-performance applications, offering up to five times the performance of standard MySQL databases. It is optimized for memory and storage, making it ideal for applications with demanding performance requirements.

4. **Scalability**: 
Amazon Aurora is designed for scalability, with the ability to automatically grow storage as needed, scale read replicas to handle increased read traffic, and support up to 15 read replicas without any impact on performance. Amazon RDS also supports scalability features but with certain limitations compared to Aurora.

5. **Pricing**: 
Amazon Aurora is typically more expensive than Amazon RDS due to its higher performance and fault-tolerance capabilities. While Amazon RDS offers various pricing options based on the database engine, instance type, and storage capacity, Amazon Aurora pricing is generally higher for the same configurations.

6. **Compatibility**:
Amazon RDS is compatible with multiple database engines, making it versatile for different applications, while Amazon Aurora is specifically designed for MySQL and PostgreSQL workloads and may not be suitable for applications using other database engines.

In Summary, Amazon Aurora offers higher performance, fault tolerance, and scalability compared to Amazon RDS, but at a higher cost and limited compatibility with database engines.

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Advice on Amazon RDS, Amazon Aurora

Phillip

Developer at Coach Align

Mar 18, 2021

Decided

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Detailed Comparison

Amazon RDS	Amazon Aurora
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.	Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
Pre-configured Parameters;Monitoring and Metrics;Automatic Software Patching;Automated Backups;DB Snapshots;DB Event Notifications;Multi-Availability Zone (Multi-AZ) Deployments;Provisioned IOPS;Push-Button Scaling;Automatic Host Replacement;Replication;Isolation and Security	High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
Stacks 16.2K	Stacks 807
Followers 10.8K	Followers 745
Votes 761	Votes 55
Pros & Cons
Pros 165 Reliable failovers 156 Automated backups 130 Backed by amazon 92 Db snapshots 87 Multi-availability	Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema
Integrations
No integrations available	PostgreSQL MySQL

What are some alternatives to Amazon RDS, Amazon Aurora?

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Azure Database for MySQL

Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.

Related Comparisons

Amazon RDS vs Amazon RDS for Aurora: What are the differences?

# Introduction

1. **Data Storage**:
Amazon RDS uses various database engines like MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server, while Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that offers up to five times the performance of standard MySQL databases.

2. **Fault Tolerance**: 
Amazon Aurora has a higher level of fault tolerance compared to Amazon RDS, with automatic and continuous backups to Amazon S3, six copies of data across three Availability Zones, and storage that is self-healing and fault-tolerant.

3. **Performance**: 
Amazon Aurora is designed for high-performance applications, offering up to five times the performance of standard MySQL databases. It is optimized for memory and storage, making it ideal for applications with demanding performance requirements.

4. **Scalability**: 
Amazon Aurora is designed for scalability, with the ability to automatically grow storage as needed, scale read replicas to handle increased read traffic, and support up to 15 read replicas without any impact on performance. Amazon RDS also supports scalability features but with certain limitations compared to Aurora.

5. **Pricing**: 
Amazon Aurora is typically more expensive than Amazon RDS due to its higher performance and fault-tolerance capabilities. While Amazon RDS offers various pricing options based on the database engine, instance type, and storage capacity, Amazon Aurora pricing is generally higher for the same configurations.

6. **Compatibility**:
Amazon RDS is compatible with multiple database engines, making it versatile for different applications, while Amazon Aurora is specifically designed for MySQL and PostgreSQL workloads and may not be suitable for applications using other database engines.

In Summary, Amazon Aurora offers higher performance, fault tolerance, and scalability compared to Amazon RDS, but at a higher cost and limited compatibility with database engines.

Amazon RDS vs Amazon RDS for Aurora

Overview